基于模糊逻辑的自适应卡尔曼滤波在GPS/INS组合导航中的应用

Application of Adaptive Kalman Filtering Based on Fuzzy Logic to theIntegrated GPS/INS Navigation

  • 摘要: 提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法,并着重研究了其在GPS/INS组合导航中的应用.根据位置误差系数和卡尔曼滤波器的新息的统计信息,采用模糊逻辑控制器对卡尔曼滤波器进行连续修正,将卡尔曼滤波器调整到最优状态,从而提高组合导航系统的精度.仿真结果证明这种方法比标准卡尔曼滤波具有更高的精度.

     

    Abstract: This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter,and focuses on its application to the integrated GPS/INS navigation.The fuzzy logic controller can continually and optimally adjust the Kalman filter according to PDOP(position dilution of precision) and statistic information of the Kalman filtering innovation,and hence enhances the positioning accuracy of the integrated navigation system.Simulation results indicate that this novel adaptive Kalman filter gives better accuracy than the standard one does.

     

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